Why do i receive Uncoonected input?

4 次查看(过去 30 天)
netWidth = 16;
layers = [
imageInputLayer([224 224 3],'Name','input')
convolution2dLayer(3,netWidth,'Padding','same','Name','convInp')
batchNormalizationLayer('Name','BNInp')
reluLayer('Name','reluInp')
convolutionalUnit(netWidth,1,'S1U1')
additionLayer(2,'Name','add11')
reluLayer('Name','relu11')
convolutionalUnit(netWidth,1,'S1U2')
additionLayer(2,'Name','add12')
reluLayer('Name','relu12')
convolutionalUnit(2*netWidth,2,'S2U1')
additionLayer(2,'Name','add21')
reluLayer('Name','relu21')
convolutionalUnit(2*netWidth,1,'S2U2')
additionLayer(2,'Name','add22')
reluLayer('Name','relu22')
convolutionalUnit(4*netWidth,2,'S3U1')
additionLayer(2,'Name','add31')
reluLayer('Name','relu31')
convolutionalUnit(4*netWidth,1,'S3U2')
additionLayer(2,'Name','add32')
reluLayer('Name','relu32')
averagePooling2dLayer(8,'Name','globalPool')
fullyConnectedLayer(2,'Name','fcFinal')
softmaxLayer('Name','softmax')
classificationLayer('Name','classoutput')
];
lgraph = layerGraph(layers);
lgraph = connectLayers(lgraph,'reluInp','add11/in2');
lgraph = connectLayers(lgraph,'relu11','add12/in2');
skip1 = [
convolution2dLayer(1,2*netWidth,'Stride',2,'Name','skipConv1')
batchNormalizationLayer('Name','skipBN1')];
lgraph = addLayers(lgraph,skip1);
lgraph = connectLayers(lgraph,'relu12','skipConv1');
lgraph = connectLayers(lgraph,'skipBN1','add21/in2');
lgraph = connectLayers(lgraph,'relu21','add22/in2');
skip2 = [
convolution2dLayer(1,4*netWidth,'Stride',2,'Name','skipConv2')
batchNormalizationLayer('Name','skipBN2')];
lgraph = addLayers(lgraph,skip2);
lgraph = connectLayers(lgraph,'relu22','skipConv2');
lgraph = connectLayers(lgraph,'skipBN2','add31/in2');
lgraph = connectLayers(lgraph,'relu31','add32/in2');
options = trainingOptions('sgdm', 'MiniBatchSize',128,'MaxEpochs',10,'InitialLearnRate',1e-4,'ExecutionEnvironment','parallel');
%[trainedNet1,traininfo] = trainNetwork(trainData,lgraph,options);
class = trainedNet1;
convnet= trainNetwork(trainData,layers,options);
Hello Community, please I have a problem with this code, when i run it they said:
Error in NOUVEAU (line 107)
convnet= trainNetwork(trainData,layers,options);
Caused by:
Layer 'add11': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add12': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add21': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add22': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add31': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add32': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Recognition, Object Detection, and Semantic Segmentation 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by